Sachin Singhal

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

• Deep understanding and practical application of Generative AI, LLMs, and RAG architectures, demonstrated through projects and listed skills.
• Strong proficiency in Python, ML frameworks (YOLO, LoRA), and MLOps tools (Docker, Azure, CI/CD) essential for AI Engineer roles.
• Demonstrated ability to develop and deploy complex AI solutions, such as the ML outage predictor and distributed validation layer in the DotPay project.
• Proactive engagement in technical communities and problem-solving, evidenced by Google Summer of Code participation and multiple hackathon wins.
• Full-stack capabilities (React Native, Node.js) for end-to-end application development and deployment, enhancing versatility for AI solution integration.